Top Machine Learning Jobs in Vancouver

The Principal Software Engineer will lead the development of autonomous systems for satellites, overseeing architecture and capabilities while mentoring engineers. Responsibilities include guiding algorithms for satellite operations and ensuring software integration across mission elements.

The Senior Machine Learning Modeler will lead the design and implementation of AI-driven models for forecasting and financial planning, collaborating across teams to create scalable ML architectures and tools for model interpretability.

The Machine Learning Modeler will design and scale intelligent systems, build forecasting models, and collaborate with analytics teams to make data-driven decisions at Block.

The Senior Machine Learning Engineer will develop scalable ML systems, collaborate across teams to improve solutions, and manage critical ML infrastructure projects.

Lead strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

As a Senior Machine Learning Engineer, you will design and implement machine learning algorithms, build models, evaluate performance, and guide junior engineers to enhance AI functionalities across Atlassian products.

Develop machine learning models to prevent risky or abusive activities in financial transactions, ensuring a secure user experience for families using Cash App.

Lead Scribd's product strategy for a new Discovery product organization, focusing on search and recommendations through advanced ML systems and user-centered design. Mentor PM teams, oversee the development of AI-driven features, and align product vision with business goals.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

As a Staff Data Scientist, you'll lead the analytical strategy for account transfers by building data products, driving operational efficiency, and mentoring team members to improve client experiences and retention.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

The Director of Data Science will lead the data science team, develop predictive models, and enhance AI strategies to drive business growth.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

As a Software Engineering Intern, you'll develop features for user-facing products, work on API platforms, and design data pipelines while gaining hands-on experience in AI technologies.

Lead Machine Learning Engineer responsible for setting technical vision, guiding teams, architecting solutions, and overseeing project delivery on Google Cloud. Requires strong ML fundamentals and excellent communication skills.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

The Data Scientist will solve real-world problems utilizing data science techniques and build end-to-end data pipelines, collaborating with multiple teams to deliver solutions.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

The AI Engineer role focuses on enhancing applied AI systems, developing tools for LLM applications, and optimizing workflows while collaborating with the product team.

As a Senior Data Scientist, you will detect fraud, optimize payments, analyze data via A/B testing, and collaborate with various teams to enhance Lime's payments system.

As an Enterprise Architect, you'll drive the adoption of AI solutions, communicate technical concepts, develop presentations, and craft solutions that demonstrate Workday technology.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

Lead the Expense Management Engineering team at Clio, focusing on building AI-powered billing solutions and managing a team of developers and managers.